Problem You opened your website in the Visual Editor but it is either not loading at all or loads incompletely with content/styling/layout broken. Solution We open your website in the Visual Editor using a proxy in case the Visual Website Optimizer Read rest of the article →

VWO and GA (Google analytics) have different tracking methods. This is the reason why you see the difference between the GA and VWO data of your website. To make it easy for you to comprehend your data, here are the main points of difference explained Read rest of the article →

Edit & Edit HTML are two very powerful operations available in the Visual Website Optimizer Editor. They let you modify the complete HTML of any element on the page which is the most low level modification possible on the page layout. But there are Read rest of the article →

We have a group of servers where actual instances of your chosen browsers run and take screenshots of pages served to them. Due to this, sometimes your preview screenshots may take some time to generate. Please be patient. Your request is queued and your Read rest of the article →

Sometimes you’ll notice that when you use the Visual Website Optimizer code on your website, Google Analytics will show that the page bounce rate and engagement have increased. Actually, the rates have not increased but GA reports an increase because Read rest of the article →

Sometimes when you disable a variation, you’ll see that it still records conversions and you feel it shouldn’t because it’s “disabled”. The reason is that disabling a variation in Visual Website Optimizer does not mean “stopped showing to visitors”, rather Read rest of the article →

The reasons why revenue goal conversions can be less than Visit to a page goal are: 1) Value passed to the revenue goal variable when a sale occurred was not a number, or it was set to 0. 2) The page has some scripts which block the DOM ready event Read rest of the article →

The issue here is that in a Split URL test, control receives all or far more visitors than any variations. The problem arises because in a Split URL test, when a query parameter submits to the test, it is submitted to control as well as forwarded Read rest of the article →

To maintain statistical integrity, you can’t remove or delete variations / sections (you can only add them) from a running test which has collected data. However, there are two ways to accomplish what you’re looking to do: Clone the current test Read rest of the article →

When a new A/B split or goes live, there are multiple factors at play which result in reports that look like these: Why does this happen? Reports show so much variation in the beginning because even small changes in goals result in large percentage Read rest of the article →